TY - DATA
T1 - Data and code underlying the bachelor thesis: Traits for a virtual coach to be a ”friend”
PY - 2022/06/21
AU - Mahira Ali
AU - Nele Albers
AU - Willem-Paul Brinkman
UR - https://data.4tu.nl/articles/dataset/Data_and_code_underlying_the_bachelor_thesis_Traits_for_a_virtual_coach_to_be_a_friend_/20099102/1
DO - 10.4121/20099102.v1
KW - Smoking Cessation
KW - Virtual Coach
KW - Chatbot
KW - Conversational Agent
KW - Friendship
KW - Relationship
KW - eHealth
KW - Digital Health
N2 - <p>This dataset contains data and code snippets from the analysis performed during the thesis, "Traits for a virtual coach to be a friend".  Here, an investigation has taken place to what characteristics the virtual coach must possess to establish this friendly relationship. Thus, the main research question is: <strong>What are the reasons for seeing the virtual coach as a stranger or friend?</strong> This research has been based on a retrospective study performed by Albers and Brinkman. Here, five hundred participants interacted with the text-based virtual coach Sam - developed for the Perfect Fit project to convince smokers to quit by performing small activities - in five separate sessions.  Afterwards, each participant rated the relationship with the virtual coach, followed by an explanatory free-text response to which thematic analysis was applied. The quality of the thematic analysis has been ensured by researcher and method triangulation. Researcher triangulation, where multiple</p>
<p>researchers were involved, determined the reliability of the coding scheme generated during thematic analysis. Method triangulation, which supported the findings, was executed with the free-text responses, literature, and quantitative data, containing demographic and smoke-related characteristics.</p>
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ER -